Pandas Profiling Report

Dataset statistics

Number of variables	14
Number of observations	17947
Missing cells	3
Missing cells (%)	< 0.1%
Duplicate rows	2
Duplicate rows (%)	< 0.1%
Total size in memory	2.6 MiB
Average record size in memory	149.4 B

Variable types

Categorical	4
Numeric	9
Boolean	1

Alerts

Dataset has 2 (< 0.1%) duplicate rows	Duplicates
`name` has a high cardinality: 17356 distinct values	High cardinality
`host_name` has a high cardinality: 2739 distinct values	High cardinality
`neighbourhood` has a high cardinality: 52 distinct values	High cardinality
`latitude` is highly overall correlated with `longitude` and 1 other fields	High correlation
`longitude` is highly overall correlated with `latitude` and 1 other fields	High correlation
`neighbourhood` is highly overall correlated with `latitude` and 1 other fields	High correlation
`room_type` is highly imbalanced (67.5%)	Imbalance
`price` is highly skewed (γ1 = 85.44200033)	Skewed
`name` is uniformly distributed	Uniform
`number_of_reviews` has 3807 (21.2%) zeros	Zeros
`availability_365` has 1107 (6.2%) zeros	Zeros

Reproduction

Analysis started	2023-01-18 16:11:13.923613
Analysis finished	2023-01-18 16:11:22.760191
Duration	8.84 seconds
Software version	pandas-profiling vv3.6.2
Download configuration	config.json

name
Categorical

HIGH CARDINALITY UNIFORM

Distinct	17356
Distinct (%)	96.7%
Missing	3
Missing (%)	< 0.1%
Memory size	796.5 KiB

★★★★★ Brand New Remodeled Apt in Barrio Norte	18
Hermoso departamento en Palermo	15
Práctico estudio en Monserrat	13
Increíble casa a metros del obelisco! Palacio Lima	13
Fantastic room in the heart of Buenos Aires	13
Other values (17351)	17872

Length

Max length	244
Median length	99
Mean length	39.328801
Min length	1

Characters and Unicode

Total characters	705716
Distinct characters	282
Distinct categories	21 ?
Distinct scripts	8 ?
Distinct blocks	17 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17047 ?
Unique (%)	95.0%

Sample

1st row	Amazing Luxurious Apt-Palermo Soho
2nd row	RELAX IN HAPPY HOUSE - PALERMO, BUENOS AIRES
3rd row	Entire Studio/apt in Buenos Aires
4th row	SPECTACULAR ANCIENT HOUSE
5th row	Great apt 1 Bedroom - 1.5 Bath /Recoleta

Common Values

Value	Count	Frequency (%)
★★★★★ Brand New Remodeled Apt in Barrio Norte	18	0.1%
Hermoso departamento en Palermo	15	0.1%
Práctico estudio en Monserrat	13	0.1%
Increíble casa a metros del obelisco! Palacio Lima	13	0.1%
Fantastic room in the heart of Buenos Aires	13	0.1%
★★★★★Luxury Boutique Suite in Palermo Hollywood	11	0.1%
Hermoso departamento en Palermo Hollywood	11	0.1%
★★★★★Boutique Studio Suite in Palermo Hollywood	10	0.1%
Modern&Luxury Aparts In Recoleta	10	0.1%
One Bedroom Apartment - PALERMO HOLLYWOOD	9	0.1%
Other values (17346)	17821	99.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
en	4875	4.4%
palermo	4804	4.3%
in	3949	3.5%
	3366	3.0%
departamento	2832	2.5%
apartment	2200	2.0%
recoleta	2087	1.9%
studio	1905	1.7%
y	1871	1.7%
de	1825	1.6%
Other values (6491)	81536	73.3%

Most occurring characters

Value	Count	Frequency (%)
	94352	13.4%
e	61550	8.7%
o	57868	8.2%
a	52858	7.5%
n	38350	5.4%
t	38121	5.4%
r	35462	5.0%
i	32172	4.6%
l	27217	3.9%
m	22861	3.2%
Other values (272)	244905	34.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	494264	70.0%
Space Separator	94356	13.4%
Uppercase Letter	92981	13.2%
Other Punctuation	12223	1.7%
Decimal Number	6637	0.9%
Dash Punctuation	2321	0.3%
Other Symbol	1130	0.2%
Math Symbol	621	0.1%
Close Punctuation	396	0.1%
Open Punctuation	370	0.1%
Other values (11)	417	0.1%

Most frequent character per category

Other Symbol

Value	Count	Frequency (%)
★	720	63.7%
❤	78	6.9%
⭐	51	4.5%
☆	29	2.6%
♥	24	2.1%
°	20	1.8%
♡	20	1.8%
✨	14	1.2%
♦	10	0.9%
✦	9	0.8%
Other values (77)	155	13.7%

Lowercase Letter

Value	Count	Frequency (%)
e	61550	12.5%
o	57868	11.7%
a	52858	10.7%
n	38350	7.8%
t	38121	7.7%
r	35462	7.2%
i	32172	6.5%
l	27217	5.5%
m	22861	4.6%
s	18666	3.8%
Other values (48)	109139	22.1%

Other Letter

Value	Count	Frequency (%)
º	22	30.1%
ה	4	5.5%
ב	4	5.5%
ス	3	4.1%
家	2	2.7%
レ	2	2.7%
イ	2	2.7%
ト	2	2.7%
な	2	2.7%
建	2	2.7%
Other values (27)	28	38.4%

Uppercase Letter

Value	Count	Frequency (%)
A	10022	10.8%
P	8741	9.4%
S	6769	7.3%
B	6504	7.0%
E	6109	6.6%
R	6044	6.5%
L	5467	5.9%
C	5454	5.9%
O	5035	5.4%
T	4521	4.9%
Other values (23)	28315	30.5%

Other Punctuation

Value	Count	Frequency (%)
.	3438	28.1%
,	3021	24.7%
!	2400	19.6%
/	1395	11.4%
&	941	7.7%
:	192	1.6%
"	172	1.4%
@	146	1.2%
'	142	1.2%
*	127	1.0%
Other values (9)	249	2.0%

Decimal Number

Value	Count	Frequency (%)
2	2225	33.5%
1	1134	17.1%
3	821	12.4%
4	676	10.2%
0	644	9.7%
5	430	6.5%
6	249	3.8%
7	180	2.7%
8	143	2.2%
9	135	2.0%

Math Symbol

Value	Count	Frequency (%)
+	386	62.2%
\|	204	32.9%
=	14	2.3%
>	9	1.4%
<	4	0.6%
~	3	0.5%
◾	1	0.2%

Modifier Symbol

Value	Count	Frequency (%)
´	31	72.1%
^	4	9.3%
🏼	3	7.0%
¨	2	4.7%
`	1	2.3%
🏾	1	2.3%
🏻	1	2.3%

Dash Punctuation

Value	Count	Frequency (%)
-	2307	99.4%
–	12	0.5%
—	2	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	389	98.2%
》	4	1.0%
]	3	0.8%

Open Punctuation

Value	Count	Frequency (%)
(	364	98.4%
[	3	0.8%
《	3	0.8%

Space Separator

Value	Count	Frequency (%)
	94352	> 99.9%
	4	< 0.1%

Final Punctuation

Value	Count	Frequency (%)
”	24	52.2%
’	22	47.8%

Initial Punctuation

Value	Count	Frequency (%)
“	18	78.3%
‘	5	21.7%

Format

Value	Count	Frequency (%)
	10	66.7%
‍	5	33.3%

Other Number

Value	Count	Frequency (%)
²	8	88.9%
½	1	11.1%

Control

Value	Count	Frequency (%)
	100	100.0%

Nonspacing Mark

Value	Count	Frequency (%)
️	76	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	17	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	13	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	587267	83.2%
Common	118317	16.8%
Inherited	81	< 0.1%
Katakana	22	< 0.1%
Han	13	< 0.1%
Hebrew	8	< 0.1%
Hiragana	7	< 0.1%
Hangul	1	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
	94352	79.7%
.	3438	2.9%
,	3021	2.6%
!	2400	2.0%
-	2307	1.9%
2	2225	1.9%
/	1395	1.2%
1	1134	1.0%
&	941	0.8%
3	821	0.7%
Other values (142)	6283	5.3%

Latin

Value	Count	Frequency (%)
e	61550	10.5%
o	57868	9.9%
a	52858	9.0%
n	38350	6.5%
t	38121	6.5%
r	35462	6.0%
i	32172	5.5%
l	27217	4.6%
m	22861	3.9%
s	18666	3.2%
Other values (82)	202142	34.4%

Katakana

Value	Count	Frequency (%)
ス	3	13.6%
レ	2	9.1%
イ	2	9.1%
ト	2	9.1%
ア	2	9.1%
セ	1	4.5%
ク	1	4.5%
ム	1	4.5%
ル	1	4.5%
ラ	1	4.5%
Other values (6)	6	27.3%

Han

Value	Count	Frequency (%)
家	2	15.4%
建	2	15.4%
囲	1	7.7%
群	1	7.7%
抜	1	7.7%
広	1	7.7%
気	1	7.7%
雰	1	7.7%
築	1	7.7%
名	1	7.7%

Hiragana

Value	Count	Frequency (%)
な	2	28.6%
い	1	14.3%
の	1	14.3%
て	1	14.3%
た	1	14.3%
が	1	14.3%

Inherited

Value	Count	Frequency (%)
️	76	93.8%
‍	5	6.2%

Hebrew

Value	Count	Frequency (%)
ה	4	50.0%
ב	4	50.0%

Hangul

Value	Count	Frequency (%)
만	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	699747	99.2%
None	4695	0.7%
Misc Symbols	825	0.1%
Punctuation	145	< 0.1%
Dingbats	128	< 0.1%
VS	76	< 0.1%
Phonetic Ext	25	< 0.1%
Katakana	24	< 0.1%
CJK	13	< 0.1%
Hebrew	8	< 0.1%
Other values (7)	30	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	94352	13.5%
e	61550	8.8%
o	57868	8.3%
a	52858	7.6%
n	38350	5.5%
t	38121	5.4%
r	35462	5.1%
i	32172	4.6%
l	27217	3.9%
m	22861	3.3%
Other values (83)	238936	34.1%

None

Value	Count	Frequency (%)
ó	2177	46.4%
ñ	855	18.2%
í	392	8.3%
á	381	8.1%
ú	168	3.6%
é	146	3.1%
Ó	67	1.4%
Ñ	65	1.4%
⭐	51	1.1%
¡	36	0.8%
Other values (80)	357	7.6%

Misc Symbols

Value	Count	Frequency (%)
★	720	87.3%
☆	29	3.5%
♥	24	2.9%
♡	20	2.4%
♦	10	1.2%
☀	7	0.8%
⚡	4	0.5%
♀	3	0.4%
♫	2	0.2%
♂	2	0.2%
Other values (4)	4	0.5%

Dingbats

Value	Count	Frequency (%)
❤	78	60.9%
✨	14	10.9%
✦	9	7.0%
✶	6	4.7%
✿	4	3.1%
✮	3	2.3%
❖	3	2.3%
✪	2	1.6%
✈	2	1.6%
❊	2	1.6%
Other values (5)	5	3.9%

VS

Value	Count	Frequency (%)
️	76	100.0%

Punctuation

Value	Count	Frequency (%)
•	45	31.0%
”	24	16.6%
’	22	15.2%
“	18	12.4%
–	12	8.3%
	10	6.9%
‘	5	3.4%
‍	5	3.4%
—	2	1.4%
…	2	1.4%

Phonetic Ext

Value	Count	Frequency (%)
ᴏ	6	24.0%
ᴇ	5	20.0%
ᴀ	4	16.0%
ᴍ	3	12.0%
ᴅ	3	12.0%
ᴛ	2	8.0%
ᴘ	1	4.0%
ᴄ	1	4.0%

Hebrew

Value	Count	Frequency (%)
ה	4	50.0%
ב	4	50.0%

IPA Ext

Value	Count	Frequency (%)
ɴ	3	37.5%
ʀ	2	25.0%
ʏ	1	12.5%
ʟ	1	12.5%
ɢ	1	12.5%

Katakana

Value	Count	Frequency (%)
ス	3	12.5%
ー	2	8.3%
レ	2	8.3%
イ	2	8.3%
ト	2	8.3%
ア	2	8.3%
セ	1	4.2%
ク	1	4.2%
ム	1	4.2%
ル	1	4.2%
Other values (7)	7	29.2%

Enclosed Alphanum Sup

Value	Count	Frequency (%)
🇦	3	50.0%
🇷	3	50.0%

CJK

Value	Count	Frequency (%)
家	2	15.4%
建	2	15.4%
囲	1	7.7%
群	1	7.7%
抜	1	7.7%
広	1	7.7%
気	1	7.7%
雰	1	7.7%
築	1	7.7%
名	1	7.7%

Hiragana

Value	Count	Frequency (%)
な	2	28.6%
い	1	14.3%
の	1	14.3%
て	1	14.3%
た	1	14.3%
が	1	14.3%

Geometric Shapes

Value	Count	Frequency (%)
►	2	50.0%
◾	1	25.0%
◇	1	25.0%

Emoticons

Value	Count	Frequency (%)
😊	1	33.3%
😍	1	33.3%
😘	1	33.3%

Box Drawing

Value	Count	Frequency (%)
║	1	100.0%

Hangul

Value	Count	Frequency (%)
만	1	100.0%

host_id
Real number (ℝ)

Distinct	10127
Distinct (%)	56.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.269011 × 10⁸

Minimum	13426
Maximum	4.8035407 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	796.5 KiB

Quantile statistics

Minimum	13426
5-th percentile	1028764
Q1	13163492
median	70427733
Q3	2.1014706 × 10⁸
95-th percentile	4.4224643 × 10⁸
Maximum	4.8035407 × 10⁸
Range	4.8034064 × 10⁸
Interquartile range (IQR)	1.9698356 × 10⁸

Descriptive statistics

Standard deviation	1.3724907 × 10⁸
Coefficient of variation (CV)	1.0815436
Kurtosis	0.13537264
Mean	1.269011 × 10⁸
Median Absolute Deviation (MAD)	65992062
Skewness	1.1041507
Sum	2.2774941 × 10¹²
Variance	1.8837308 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3469227	132	0.7%
55553719	112	0.6%
7786587	106	0.6%
1021694	102	0.6%
278440549	93	0.5%
1028764	87	0.5%
1875949	75	0.4%
132838002	74	0.4%
10966956	70	0.4%
210147055	68	0.4%
Other values (10117)	17028	94.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13426	14	0.1%
20848	2	< 0.1%
22670	2	< 0.1%
32926	2	< 0.1%
36390	1	< 0.1%
36441	2	< 0.1%
42762	1	< 0.1%
52100	1	< 0.1%
54480	1	< 0.1%
55825	1	< 0.1%

Value	Count	Frequency (%)
480354068	1	< 0.1%
480353632	1	< 0.1%
480315953	1	< 0.1%
480311197	1	< 0.1%
480206190	1	< 0.1%
480160752	1	< 0.1%
480159803	1	< 0.1%
480067053	1	< 0.1%
480048451	1	< 0.1%
480028629	1	< 0.1%

host_name
Categorical

Distinct	2739
Distinct (%)	15.3%
Missing	0
Missing (%)	0.0%
Memory size	796.5 KiB

Federico	320
Pablo	279
Diego	215
Maria	201
Juan	188
Other values (2734)	16744

Length

Max length	34
Median length	28
Mean length	7.5186382
Min length	1

Characters and Unicode

Total characters	134937
Distinct characters	88
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1493 ?
Unique (%)	8.3%

Sample

1st row	Candela
2nd row	María
3rd row	Roxana
4th row	Cintia
5th row	Luciano

Common Values

Value	Count	Frequency (%)
Federico	320	1.8%
Pablo	279	1.6%
Diego	215	1.2%
Maria	201	1.1%
Juan	188	1.0%
Cecilia	179	1.0%
Martin	167	0.9%
Mariana	141	0.8%
Maximiliano	141	0.8%
Gabriel	137	0.8%
Other values (2729)	15979	89.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
maria	540	2.5%
juan	402	1.8%
pablo	352	1.6%
federico	325	1.5%
	295	1.3%
y	295	1.3%
diego	240	1.1%
martin	208	1.0%
cecilia	204	0.9%
fernando	199	0.9%
Other values (1896)	18809	86.0%

Most occurring characters

Value	Count	Frequency (%)
a	21411	15.9%
i	13116	9.7%
e	9724	7.2%
n	9529	7.1%
r	9470	7.0%
o	8912	6.6%
l	7893	5.8%
t	3997	3.0%
u	3963	2.9%
	3927	2.9%
Other values (78)	42995	31.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	108439	80.4%
Uppercase Letter	22006	16.3%
Space Separator	3927	2.9%
Other Punctuation	404	0.3%
Decimal Number	104	0.1%
Dash Punctuation	17	< 0.1%
Open Punctuation	12	< 0.1%
Close Punctuation	12	< 0.1%
Connector Punctuation	8	< 0.1%
Other Symbol	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	21411	19.7%
i	13116	12.1%
e	9724	9.0%
n	9529	8.8%
r	9470	8.7%
o	8912	8.2%
l	7893	7.3%
t	3997	3.7%
u	3963	3.7%
s	3924	3.6%
Other values (30)	16500	15.2%

Uppercase Letter

Value	Count	Frequency (%)
M	3403	15.5%
A	2294	10.4%
C	1673	7.6%
J	1452	6.6%
F	1447	6.6%
S	1324	6.0%
L	1321	6.0%
G	1188	5.4%
P	982	4.5%
D	938	4.3%
Other values (18)	5984	27.2%

Decimal Number

Value	Count	Frequency (%)
2	74	71.2%
7	17	16.3%
1	5	4.8%
6	3	2.9%
5	3	2.9%
3	2	1.9%

Other Punctuation

Value	Count	Frequency (%)
&	352	87.1%
.	37	9.2%
/	8	2.0%
,	6	1.5%
@	1	0.2%

Other Letter

Value	Count	Frequency (%)
해	1	33.3%
방	1	33.3%
군	1	33.3%

Space Separator

Value	Count	Frequency (%)
	3927	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	17	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	12	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	12	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	8	100.0%

Other Symbol

Value	Count	Frequency (%)
★	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	130445	96.7%
Common	4489	3.3%
Hangul	3	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	21411	16.4%
i	13116	10.1%
e	9724	7.5%
n	9529	7.3%
r	9470	7.3%
o	8912	6.8%
l	7893	6.1%
t	3997	3.1%
u	3963	3.0%
s	3924	3.0%
Other values (58)	38506	29.5%

Common

Value	Count	Frequency (%)
	3927	87.5%
&	352	7.8%
2	74	1.6%
.	37	0.8%
-	17	0.4%
7	17	0.4%
(	12	0.3%
)	12	0.3%
/	8	0.2%
_	8	0.2%
Other values (7)	25	0.6%

Hangul

Value	Count	Frequency (%)
해	1	33.3%
방	1	33.3%
군	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	134101	99.4%
None	828	0.6%
Misc Symbols	5	< 0.1%
Hangul	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	21411	16.0%
i	13116	9.8%
e	9724	7.3%
n	9529	7.1%
r	9470	7.1%
o	8912	6.6%
l	7893	5.9%
t	3997	3.0%
u	3963	3.0%
	3927	2.9%
Other values (58)	42159	31.4%

None

Value	Count	Frequency (%)
í	324	39.1%
á	212	25.6%
é	168	20.3%
ó	82	9.9%
ú	10	1.2%
ñ	8	1.0%
É	6	0.7%
Á	5	0.6%
ê	4	0.5%
ì	2	0.2%
Other values (6)	7	0.8%

Misc Symbols

Value	Count	Frequency (%)
★	5	100.0%

Hangul

Value	Count	Frequency (%)
해	1	33.3%
방	1	33.3%
군	1	33.3%

neighbourhood
Categorical

HIGH CARDINALITY HIGH CORRELATION

Distinct	52
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	796.5 KiB

Palermo	6085
Recoleta	2758
San Nicolas	1066
Retiro	880
Belgrano	871
Other values (47)	6287

Length

Max length	17
Median length	16
Mean length	8.2162478
Min length	4

Characters and Unicode

Total characters	147457
Distinct characters	45
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Palermo
2nd row	Palermo
3rd row	Palermo
4th row	San Nicolas
5th row	Recoleta

Common Values

Value	Count	Frequency (%)
Palermo	6085	33.9%
Recoleta	2758	15.4%
San Nicolas	1066	5.9%
Retiro	880	4.9%
Belgrano	871	4.9%
Monserrat	650	3.6%
Almagro	644	3.6%
Balvanera	589	3.3%
Villa Crespo	555	3.1%
Nuñez	503	2.8%
Other values (42)	3346	18.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
palermo	6085	28.8%
recoleta	2758	13.1%
san	1645	7.8%
nicolas	1066	5.0%
villa	1036	4.9%
retiro	880	4.2%
belgrano	871	4.1%
monserrat	650	3.1%
almagro	644	3.1%
balvanera	589	2.8%
Other values (52)	4889	23.2%

Most occurring characters

Value	Count	Frequency (%)
a	20604	14.0%
e	18260	12.4%
l	16408	11.1%
o	16392	11.1%
r	13010	8.8%
m	7248	4.9%
P	6577	4.5%
t	5938	4.0%
i	4905	3.3%
c	4622	3.1%
Other values (35)	33493	22.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	123164	83.5%
Uppercase Letter	21074	14.3%
Space Separator	3166	2.1%
Decimal Number	39	< 0.1%
Other Punctuation	14	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	20604	16.7%
e	18260	14.8%
l	16408	13.3%
o	16392	13.3%
r	13010	10.6%
m	7248	5.9%
t	5938	4.8%
i	4905	4.0%
c	4622	3.8%
n	4401	3.6%
Other values (13)	11376	9.2%

Uppercase Letter

Value	Count	Frequency (%)
P	6577	31.2%
R	3676	17.4%
C	1968	9.3%
S	1871	8.9%
B	1728	8.2%
N	1581	7.5%
V	1055	5.0%
M	909	4.3%
A	668	3.2%
T	490	2.3%
Other values (6)	551	2.6%

Decimal Number

Value	Count	Frequency (%)
2	20	51.3%
4	7	17.9%
3	6	15.4%
1	6	15.4%

Space Separator

Value	Count	Frequency (%)
	3166	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	144238	97.8%
Common	3219	2.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	20604	14.3%
e	18260	12.7%
l	16408	11.4%
o	16392	11.4%
r	13010	9.0%
m	7248	5.0%
P	6577	4.6%
t	5938	4.1%
i	4905	3.4%
c	4622	3.2%
Other values (29)	30274	21.0%

Common

Value	Count	Frequency (%)
	3166	98.4%
2	20	0.6%
.	14	0.4%
4	7	0.2%
3	6	0.2%
1	6	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	146954	99.7%
None	503	0.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	20604	14.0%
e	18260	12.4%
l	16408	11.2%
o	16392	11.2%
r	13010	8.9%
m	7248	4.9%
P	6577	4.5%
t	5938	4.0%
i	4905	3.3%
c	4622	3.1%
Other values (34)	32990	22.4%

None

Value	Count	Frequency (%)
ñ	503	100.0%

latitude
Real number (ℝ)

Distinct	9291
Distinct (%)	51.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-34.59046

Minimum	-34.6937
Maximum	-34.51399
Zeros	0
Zeros (%)	0.0%
Negative	17947
Negative (%)	100.0%
Memory size	796.5 KiB

Quantile statistics

Minimum	-34.6937
5-th percentile	-34.62141
Q1	-34.601055
median	-34.59003
Q3	-34.58043
95-th percentile	-34.555868
Maximum	-34.51399
Range	0.17971
Interquartile range (IQR)	0.020625

Descriptive statistics

Standard deviation	0.019324839
Coefficient of variation (CV)	-0.00055867538
Kurtosis	1.3672703
Mean	-34.59046
Median Absolute Deviation (MAD)	0.01017
Skewness	0.15345182
Sum	-620794.99
Variance	0.00037344939
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-34.59487	49	0.3%
-34.584511	35	0.2%
-34.5887845	19	0.1%
-34.57682	17	0.1%
-34.60621	14	0.1%
-34.59652	13	0.1%
-34.57785	13	0.1%
-34.61376	12	0.1%
-34.60252	11	0.1%
-34.58833	11	0.1%
Other values (9281)	17753	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-34.6937	1	< 0.1%
-34.68962	1	< 0.1%
-34.68911	1	< 0.1%
-34.68885	1	< 0.1%
-34.68388	1	< 0.1%
-34.68112	1	< 0.1%
-34.68076	1	< 0.1%
-34.6802	1	< 0.1%
-34.6792296	1	< 0.1%
-34.67749	1	< 0.1%

Value	Count	Frequency (%)
-34.51399	1	< 0.1%
-34.51467	1	< 0.1%
-34.5163	1	< 0.1%
-34.51637	1	< 0.1%
-34.5164	1	< 0.1%
-34.51692	1	< 0.1%
-34.51711	1	< 0.1%
-34.5173	1	< 0.1%
-34.51733	1	< 0.1%
-34.51746	1	< 0.1%

longitude
Real number (ℝ)

Distinct	11044
Distinct (%)	61.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-58.418014

Minimum	-58.54437
Maximum	-58.35541
Zeros	0
Zeros (%)	0.0%
Negative	17947
Negative (%)	100.0%
Memory size	796.5 KiB

Quantile statistics

Minimum	-58.54437
5-th percentile	-58.471411
Q1	-58.437345
median	-58.41955
Q3	-58.393675
95-th percentile	-58.37333
Maximum	-58.35541
Range	0.18896
Interquartile range (IQR)	0.043670141

Descriptive statistics

Standard deviation	0.030585355
Coefficient of variation (CV)	-0.00052356034
Kurtosis	0.002658057
Mean	-58.418014
Median Absolute Deviation (MAD)	0.02123
Skewness	-0.40926698
Sum	-1048428.1
Variance	0.00093546394
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-58.39603	43	0.2%
-58.437511	35	0.2%
-58.4138297	19	0.1%
-58.42192	18	0.1%
-58.39078	17	0.1%
-58.43845	16	0.1%
-58.42381	15	0.1%
-58.38242	12	0.1%
-58.37945	12	0.1%
-58.430573	11	0.1%
Other values (11034)	17749	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-58.54437	1	< 0.1%
-58.54404	1	< 0.1%
-58.54275	1	< 0.1%
-58.54105	1	< 0.1%
-58.54078	1	< 0.1%
-58.53868	1	< 0.1%
-58.53667	1	< 0.1%
-58.53625	2	< 0.1%
-58.53614	1	< 0.1%
-58.534527	1	< 0.1%

Value	Count	Frequency (%)
-58.35541	1	< 0.1%
-58.35553	1	< 0.1%
-58.35662	1	< 0.1%
-58.35767	1	< 0.1%
-58.35777	1	< 0.1%
-58.35887	1	< 0.1%
-58.35906	1	< 0.1%
-58.35908	1	< 0.1%
-58.35933	1	< 0.1%
-58.35943	1	< 0.1%

room_type
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	796.5 KiB

Entire home/apt	15603
Private room	2030
Shared room	194
Hotel room	120

Length

Max length	15
Median length	15
Mean length	14.583997
Min length	10

Characters and Unicode

Total characters	261739
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Entire home/apt
2nd row	Entire home/apt
3rd row	Entire home/apt
4th row	Entire home/apt
5th row	Entire home/apt

Common Values

Value	Count	Frequency (%)
Entire home/apt	15603	86.9%
Private room	2030	11.3%
Shared room	194	1.1%
Hotel room	120	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
entire	15603	43.5%
home/apt	15603	43.5%
room	2344	6.5%
private	2030	5.7%
shared	194	0.5%
hotel	120	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	33550	12.8%
t	33356	12.7%
o	20411	7.8%
r	20171	7.7%
m	17947	6.9%
	17947	6.9%
a	17827	6.8%
i	17633	6.7%
h	15797	6.0%
p	15603	6.0%
Other values (9)	51497	19.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	210242	80.3%
Space Separator	17947	6.9%
Uppercase Letter	17947	6.9%
Other Punctuation	15603	6.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	33550	16.0%
t	33356	15.9%
o	20411	9.7%
r	20171	9.6%
m	17947	8.5%
a	17827	8.5%
i	17633	8.4%
h	15797	7.5%
p	15603	7.4%
n	15603	7.4%
Other values (3)	2344	1.1%

Uppercase Letter

Value	Count	Frequency (%)
E	15603	86.9%
P	2030	11.3%
S	194	1.1%
H	120	0.7%

Space Separator

Value	Count	Frequency (%)
	17947	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	15603	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	228189	87.2%
Common	33550	12.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	33550	14.7%
t	33356	14.6%
o	20411	8.9%
r	20171	8.8%
m	17947	7.9%
a	17827	7.8%
i	17633	7.7%
h	15797	6.9%
p	15603	6.8%
E	15603	6.8%
Other values (7)	20291	8.9%

Common

Value	Count	Frequency (%)
	17947	53.5%
/	15603	46.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	261739	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	33550	12.8%
t	33356	12.7%
o	20411	7.8%
r	20171	7.7%
m	17947	6.9%
	17947	6.9%
a	17827	6.8%
i	17633	6.7%
h	15797	6.0%
p	15603	6.0%
Other values (9)	51497	19.7%

price
Real number (ℝ)

Distinct	2291
Distinct (%)	12.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11307.989

Minimum	260
Maximum	14330511
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	796.5 KiB

Quantile statistics

Minimum	260
5-th percentile	2171
Q1	4136
median	5790
Q3	8685
95-th percentile	20265
Maximum	14330511
Range	14330251
Interquartile range (IQR)	4549

Descriptive statistics

Standard deviation	154991.57
Coefficient of variation (CV)	13.706379
Kurtosis	7761.1374
Mean	11307.989
Median Absolute Deviation (MAD)	2171
Skewness	85.442
Sum	2.0294447 × 10⁸
Variance	2.4022388 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5066	636	3.5%
5790	630	3.5%
4343	619	3.4%
7238	557	3.1%
6514	468	2.6%
3619	443	2.5%
8685	355	2.0%
2895	351	2.0%
4053	268	1.5%
10133	246	1.4%
Other values (2281)	13374	74.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
260	1	< 0.1%
400	1	< 0.1%
471	1	< 0.1%
500	2	< 0.1%
598	1	< 0.1%
600	2	< 0.1%
650	2	< 0.1%
655	1	< 0.1%
680	1	< 0.1%
685	1	< 0.1%

Value	Count	Frequency (%)
14330511	1	< 0.1%
14000000	1	< 0.1%
1447526	2	< 0.1%
1447382	8	< 0.1%
1158021	1	< 0.1%
889525	1	< 0.1%
733689	1	< 0.1%
727857	1	< 0.1%
723763	2	< 0.1%
694813	1	< 0.1%

minimum_nights
Real number (ℝ)

Distinct	71
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.6823982

Minimum	1
Maximum	1000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	796.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	30
Maximum	1000
Range	999
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	27.965044
Coefficient of variation (CV)	3.6401451
Kurtosis	482.61596
Mean	7.6823982
Median Absolute Deviation (MAD)	2
Skewness	17.928538
Sum	137876
Variance	782.04367
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	3844	21.4%
2	3699	20.6%
1	3597	20.0%
7	1443	8.0%
4	1399	7.8%
5	1289	7.2%
30	543	3.0%
6	344	1.9%
15	330	1.8%
10	295	1.6%
Other values (61)	1164	6.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3597	20.0%
2	3699	20.6%
3	3844	21.4%
4	1399	7.8%
5	1289	7.2%
6	344	1.9%
7	1443	8.0%
8	34	0.2%
9	13	0.1%
10	295	1.6%

Value	Count	Frequency (%)
1000	2	< 0.1%
999	2	< 0.1%
750	1	< 0.1%
730	2	< 0.1%
500	1	< 0.1%
365	18	0.1%
364	1	< 0.1%
360	4	< 0.1%
359	4	< 0.1%
350	1	< 0.1%

number_of_reviews
Real number (ℝ)

Distinct	284
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.9888

Minimum	0
Maximum	577
Zeros	3807
Zeros (%)	21.2%
Negative	0
Negative (%)	0.0%
Memory size	796.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	6
Q3	24
95-th percentile	94
Maximum	577
Range	577
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	37.816027
Coefficient of variation (CV)	1.8017241
Kurtosis	21.431272
Mean	20.9888
Median Absolute Deviation (MAD)	6
Skewness	3.8147239
Sum	376686
Variance	1430.0519
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3807	21.2%
1	1543	8.6%
2	1032	5.8%
3	789	4.4%
4	703	3.9%
5	571	3.2%
6	533	3.0%
7	472	2.6%
8	420	2.3%
9	387	2.2%
Other values (274)	7690	42.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3807	21.2%
1	1543	8.6%
2	1032	5.8%
3	789	4.4%
4	703	3.9%
5	571	3.2%
6	533	3.0%
7	472	2.6%
8	420	2.3%
9	387	2.2%

Value	Count	Frequency (%)
577	1	< 0.1%
519	1	< 0.1%
458	1	< 0.1%
453	1	< 0.1%
373	1	< 0.1%
366	1	< 0.1%
363	1	< 0.1%
362	1	< 0.1%
354	1	< 0.1%
345	2	< 0.1%

calculated_host_listings_count
Real number (ℝ)

Distinct	55
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.396055

Minimum	1
Maximum	132
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	796.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	8
95-th percentile	68
Maximum	132
Range	131
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	23.298279
Coefficient of variation (CV)	2.0444162
Kurtosis	9.8332417
Mean	11.396055
Median Absolute Deviation (MAD)	1
Skewness	3.1071211
Sum	204525
Variance	542.80981
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	7971	44.4%
2	2288	12.7%
3	1161	6.5%
4	776	4.3%
5	515	2.9%
8	344	1.9%
6	336	1.9%
7	294	1.6%
9	207	1.2%
12	192	1.1%
Other values (45)	3863	21.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7971	44.4%
2	2288	12.7%
3	1161	6.5%
4	776	4.3%
5	515	2.9%
6	336	1.9%
7	294	1.6%
8	344	1.9%
9	207	1.2%
10	190	1.1%

Value	Count	Frequency (%)
132	132	0.7%
112	112	0.6%
106	106	0.6%
102	102	0.6%
93	93	0.5%
87	87	0.5%
75	75	0.4%
74	74	0.4%
70	70	0.4%
68	68	0.4%

availability_365
Real number (ℝ)

Distinct	366
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	207.40486

Minimum	0
Maximum	365
Zeros	1107
Zeros (%)	6.2%
Negative	0
Negative (%)	0.0%
Memory size	796.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	89
median	223
Q3	329
95-th percentile	365
Maximum	365
Range	365
Interquartile range (IQR)	240

Descriptive statistics

Standard deviation	124.42545
Coefficient of variation (CV)	0.59991578
Kurtosis	-1.3949392
Mean	207.40486
Median Absolute Deviation (MAD)	117
Skewness	-0.22540211
Sum	3722295
Variance	15481.692
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1107	6.2%
365	946	5.3%
364	338	1.9%
264	289	1.6%
363	252	1.4%
358	233	1.3%
362	209	1.2%
356	208	1.2%
88	175	1.0%
90	164	0.9%
Other values (356)	14026	78.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1107	6.2%
1	91	0.5%
2	39	0.2%
3	31	0.2%
4	19	0.1%
5	26	0.1%
6	18	0.1%
7	14	0.1%
8	32	0.2%
9	24	0.1%

Value	Count	Frequency (%)
365	946	5.3%
364	338	1.9%
363	252	1.4%
362	209	1.2%
361	98	0.5%
360	93	0.5%
359	78	0.4%
358	233	1.3%
357	114	0.6%
356	208	1.2%

instant_bookable
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	673.8 KiB

False	10624
True	7323

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
False	10624	59.2%
True	7323	40.8%

accommodates
Real number (ℝ)

Distinct	16
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8468268

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	796.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	4
95-th percentile	5
Maximum	16
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.5076226
Coefficient of variation (CV)	0.52958002
Kurtosis	17.750594
Mean	2.8468268
Median Absolute Deviation (MAD)	1
Skewness	3.0260598
Sum	51092
Variance	2.2729258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
2	8577	47.8%
4	3410	19.0%
3	3278	18.3%
1	1235	6.9%
5	645	3.6%
6	489	2.7%
8	86	0.5%
7	75	0.4%
10	34	0.2%
9	27	0.2%
Other values (6)	91	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1235	6.9%
2	8577	47.8%
3	3278	18.3%
4	3410	19.0%
5	645	3.6%
6	489	2.7%
7	75	0.4%
8	86	0.5%
9	27	0.2%
10	34	0.2%

Value	Count	Frequency (%)
16	27	0.2%
15	16	0.1%
14	19	0.1%
13	2	< 0.1%
12	13	0.1%
11	14	0.1%
10	34	0.2%
9	27	0.2%
8	86	0.5%
7	75	0.4%

Auto

Heatmap
Table

	host_id	latitude	longitude	price	minimum_nights	number_of_reviews	calculated_host_listings_count	availability_365	accommodates	neighbourhood	room_type	instant_bookable
host_id	1.000	-0.060	-0.017	-0.085	-0.166	-0.161	-0.236	-0.030	-0.039	0.076	0.074	0.158
latitude	-0.060	1.000	-0.633	0.175	0.061	0.038	0.058	-0.048	0.019	0.667	0.116	0.048
longitude	-0.017	-0.633	1.000	0.004	-0.016	0.050	0.026	0.002	0.053	0.715	0.078	0.034
price	-0.085	0.175	0.004	1.000	-0.026	-0.088	0.126	0.106	0.449	0.109	0.061	0.016
minimum_nights	-0.166	0.061	-0.016	-0.026	1.000	-0.112	-0.016	-0.077	0.004	0.000	0.000	0.013
number_of_reviews	-0.161	0.038	0.050	-0.088	-0.112	1.000	0.010	-0.166	0.084	0.000	0.035	0.065
calculated_host_listings_count	-0.236	0.058	0.026	0.126	-0.016	0.010	1.000	0.042	0.048	0.070	0.115	0.184
availability_365	-0.030	-0.048	0.002	0.106	-0.077	-0.166	0.042	1.000	-0.030	0.044	0.080	0.069
accommodates	-0.039	0.019	0.053	0.449	0.004	0.084	0.048	-0.030	1.000	0.055	0.153	0.033
neighbourhood	0.076	0.667	0.715	0.109	0.000	0.000	0.070	0.044	0.055	1.000	0.153	0.080
room_type	0.074	0.116	0.078	0.061	0.000	0.035	0.115	0.080	0.153	0.153	1.000	0.031
instant_bookable	0.158	0.048	0.034	0.016	0.013	0.065	0.184	0.069	0.033	0.080	0.031	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	name	host_id	host_name	neighbourhood	latitude	longitude	room_type	price	minimum_nights	number_of_reviews	calculated_host_listings_count	availability_365	instant_bookable	accommodates
id
11508	Amazing Luxurious Apt-Palermo Soho	42762	Candela	Palermo	-34.58184	-58.42415	Entire home/apt	9823	3	30	1	314	f	2
14222	RELAX IN HAPPY HOUSE - PALERMO, BUENOS AIRES	87710233	María	Palermo	-34.58617	-58.41036	Entire home/apt	3728	7	98	3	324	f	2
118877	Entire Studio/apt in Buenos Aires	600320	Roxana	Palermo	-34.57734	-58.43790	Entire home/apt	5687	2	24	2	174	t	2
14711	SPECTACULAR ANCIENT HOUSE	57770	Cintia	San Nicolas	-34.60786	-58.37211	Entire home/apt	17370	1	0	1	365	f	3
120874	Great apt 1 Bedroom - 1.5 Bath /Recoleta	530261	Luciano	Recoleta	-34.58991	-58.39931	Entire home/apt	6514	14	10	27	295	f	4
15074	ROOM WITH RIVER SIGHT	59338	Monica	Nuñez	-34.53892	-58.46599	Private room	4343	29	0	1	365	f	1
122907	Spotless entire apt. Ideal location	426566	Egle	Almagro	-34.61982	-58.41660	Entire home/apt	3584	5	29	8	324	t	2
16695	DUPLEX LOFT 2 - SAN TELMO	64880	Elbio Mariano	Monserrat	-34.61439	-58.37611	Entire home/apt	7238	2	46	9	175	t	4
17451	A terrace in Buenos Aires	67732	Karen	Belgrano	-34.55878	-58.46476	Private room	4922	2	0	1	87	f	2
129681	Studio Rojo Design Belgrano - 2 Pax	638545	Luisa	Belgrano	-34.55601	-58.45717	Entire home/apt	4125	7	14	3	3	f	2

	name	host_id	host_name	neighbourhood	latitude	longitude	room_type	price	minimum_nights	number_of_reviews	calculated_host_listings_count	availability_365	instant_bookable	accommodates
id
36278439	Puerto Madero 2 bdr luxury apart Amenities Parking	272852807	Maria Fernanda	Dique 2	-34.61373	-58.36363	Entire home/apt	13938	3	38	1	331	t	4
607042304873564249	City Madero Buenos Aires Suites	73536121	Romulo	Dique 2	-34.61506	-58.36368	Entire home/apt	11291	3	4	8	316	t	3
4338028	Penthouse, breathtaking views, pool	22521769	Berni	Dique 2	-34.61555	-58.36379	Entire home/apt	18094	2	98	4	345	f	6
53893506	Hermoso departamento en Puerto Madero/PISCINA/GYM	293790790	Carlos	Dique 3	-34.60828	-58.36579	Entire home/apt	6928	2	36	5	95	t	2
38524423	Puerto Madero Loft ★★★★★	293823818	Maria	Dique 3	-34.60579	-58.36555	Entire home/apt	9787	1	93	1	221	t	7
32279620	Lumiere Place Puerto Madero	408551	Guille	Dique 2	-34.61684	-58.36386	Entire home/apt	9988	3	70	13	154	f	2
27460266	••WELCOME! New Modern Suite Puerto Madero \|CasaBA	183209971	Giselle	Dique 2	-34.61596	-58.36367	Entire home/apt	20265	3	11	15	78	t	5
46217105	☆PUERTO MADERO LUXURIOUS APARTMENT ☆ CasaBAires	183209971	Giselle	Dique 2	-34.61459	-58.36378	Entire home/apt	26055	3	5	15	81	t	5
31262931	Puerto Madero Elegant Suite \| CasaBAires	183209971	Giselle	Dique 3	-34.60776	-58.36477	Entire home/apt	20265	3	19	15	83	t	5
32204376	Apartamento Puerto Madero 2 ambientes amplios!	122031954	Marta	Dique 2	-34.61520	-58.36415	Entire home/apt	11580	1	15	1	65	t	3

Most frequently occurring

	name	host_id	host_name	neighbourhood	latitude	longitude	room_type	price	minimum_nights	number_of_reviews	calculated_host_listings_count	availability_365	instant_bookable	accommodates	# duplicates
0	Super located apartment in Palermo	191745126	Marcos	Palermo	-34.582890	-58.427456	Entire home/apt	14475	10	0	18	365	f	2	2
1	★★★★★Boutique Studio Suite in Palermo Hollywood	278440549	Boutique Apartments	Palermo	-34.584511	-58.437511	Entire home/apt	12179	1	0	93	139	t	2	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Symbol

Lowercase Letter

Other Letter

Uppercase Letter

Other Punctuation

Decimal Number

Math Symbol

Modifier Symbol

Dash Punctuation

Close Punctuation

Open Punctuation

Space Separator

Final Punctuation

Initial Punctuation

Format

Other Number

Control

Nonspacing Mark

Currency Symbol

Connector Punctuation

Modifier Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Katakana

Han

Hiragana

Inherited

Hebrew

Hangul

Most occurring blocks

Most frequent character per block

ASCII

None

Misc Symbols

Dingbats

VS

Punctuation

Phonetic Ext

Hebrew

IPA Ext

Katakana

Enclosed Alphanum Sup

CJK

Hiragana

Geometric Shapes

Emoticons

Box Drawing

Hangul

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Other Letter

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Connector Punctuation

Other Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Hangul

Most occurring blocks

Most frequent character per block